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Transforming IR Leadership and Creating Data-Informed Decision Cultures
Presentation found at https://irds.iupui.edu/reports-presentations/conference-presentations/index.html
IUPUI
Michele Hansen, Ph.D., Assistant Vice Chancellor
Institutional Research and Decision Support (IRDS)
Caleb J. Keith, Ph.D., Director of Institutional Effectiveness
and Survey Research, IRDS
Steven S. Graunke, Ed.D., Director of Institutional Research
and Assessment, IRDS
Our Vision/Mission
We provide timely, accurate, and actionable information to
support decision making at IUPUI. Decision makers have the
information necessary to achieve maximum effectiveness in regard
to IUPUI’s Strategic vision, mission, values, and goals related to the
success and learning of our students as well as overall institutional
effectiveness. Our vision is to be a nationally recognized leader in
institutional research and decision support in higher education.
• IRDS new office in August
2015.
• Reorganized all data-
generating, decision support
offices under one structure to
leverage expertise and
integrate data across units.
• Had opportunity to organize
new office guided by
Statement of Aspirational
Practice for Institutional
Research.
3
Institutional Research and Decision Support
Context
IUPUI
Statement of Aspirational Practice For
Institutional Research – Association of
Institutional Research (AIR)
Statement of
Aspirational Practice
Student Focus
Expanded Definition of
Decision Makers
Structures and
Leadership for IR
Leadership for IR
Function
IUPUI Selected as 1 of
10 Founding
Institutions
IUPUI
IRDS Activities and Reports to Support
Decision Making
Institutional Research
(Retention and Graduation
Rates)
Strategic Enrollment
Management
Assessment of Student Learning
and Development
Survey Research Methods
Course Evaluations
Institutional Effectiveness and Strategic
Planning Decision Support
Program Evaluation and
Program Review
(assessing what works and what
needs improvement)
IUPUI
Executive Vice Chancellor
Chief Academic Officer
(Kathy E. Johnson)
Director
Institutional Research and Assessment
(Steve S. Graunke)
PAE 5AD
Associate Director
(Teresa Troke)
IVY Tech/IUPUI Management Analyst
(Vacant)
Assistant Director Enrollment Management
Analyst
(Norma Fewell)
Assistant Director
(Wendy Lin)
Director
Institutional Effectiveness and Survey Research
(Caleb Keith)
Assistant Director
(Robert Janik)
Course Evaluation & Data Processing Coordinator
(Kate Forrest)
Data Specialist
(Rick L. Morgan) Management Analyst
(Clif Marsiglio)
Director
Evaluation and Psychometric Services
(Howard Mzumara)
Assistant Vice Chancellor Institutional Research and Decision
Support
(Michele J. Hansen)
Institutional Research Coordinator
(Jessicah Rauch)
Web Developer/Analyst
(Alex Kitcoff)
Senior Administrative Secretary
(Janet Epps)
Two Graduate Student Research Assistants for IRDS
(reports to Robbie and Jessicah/Steve)
Institutional Research and Decision Support (IRDS) Organizational Chart
IUPUI
IRDS Key Practices and Strategies to
Expand Notion of Decision Makers
Consider the information needs of faculty, staff, administrators, and students.
Developed a comprehensive integrated data infrastructure (student, faculty, staff, facilities, financial, research, community impact, and strategic planning indicators) to provide unprecedented access to data for all decision makers across IUPUI, especially those on front line with students and students themselves.
Optimized the use of enabled technology such as Tableau to put data in the hands of decision makers. The technology-enabled data reports allow users to explore, interact with, and analyze information that is actionable and tailored to specific decisions.
IUPUI
Organization Around Decision Maker• Multiple decision makers across a campus – and IRDS is organized so those
decision makers have access and we serve as facilitators
• Chancellor and Chancellor’s Cabinet
• Schools
• Academic Programs
• Division of Undergraduate Education
• Enrollment Management
• Division of Diversity, Equity, and Inclusion
• Academic and Faculty Affairs
• Staff Affairs (Human Resources and the Office of Equal Opportunity)
• Etc.
• Understand anatomy of decision
• Data infrastructure
• Relationship building
• Access to decision makers
• Building capacity for others (outside of IR) to collect data appropriately
• Technology that allows for decision makers to have access to data
• Ongoing training, consultation, and support
Building a Capacity for Decision Making
INDIANA UNIVERSITY–PURDUE UNIVERSITY INDIANAPOLIS
Practices and Strategies to Enhance IR
Leadership Function
Lead by supporting and coordinating all institutional research, institutional effectiveness, mandatory reporting, business analytics, and other data-focused decision-support activities.
There is a significant focus on building relationships with individuals throughout the institution.
Have spent the last year engaged in understanding data and information structures and capacities.
Critical aspect of reorganization was to connect disparate pieces of information (student, faculty, staff, budget, human resources, campus climate for diversity).
Developed a Student Data Policy Advisory Group, Survey Research Policy, Faculty and Staff Individual Data Advisory Councils
10
INDIANA UNIVERSITY–PURDUE UNIVERSITY INDIANAPOLIS
Data Governance and Policies
• Student Data Policy Advisory Group
• Staff and Faculty Data Policy Advisory Group
• Survey Research Policy
INDIANA UNIVERSITY–PURDUE UNIVERSITY INDIANAPOLIS
IR Leadership and Creating a Data-Informed
Decision Cultures
1. Matrix Network Model of
Institutional Research
– We have small teams within IRDS who
work collaboratively with decision
makers in schools and in units to
ensure that that we are providing them
with quality information and data tools
so that they are empowered and
effective decision makers. Process is
integrative, nimble, and data is
actionable and aligned with strategic
planning decisions.
IUPUI
A Strategic Information Council launched at IUPUI in February, 2017 and
will meet biweekly. The major purpose of this Council will be to regularly and
strategically mine our data repositories, including advising tools and
institutional analytics developed by [vendors] or available through Canvas, in
order to identify soluble barriers to student success and to address them
systematically. The council will be tasked with nurturing a deliberate cycle of
piloting responses to identified barriers, evaluating their efficacy, and rapidly
scaling them up or implementing policy to support undergraduate student
retention and success in coordination with appropriate councils, faculty
governance groups, and the Center for Teaching and Learning.
Leveraging Data Analytic Power with
Formation of Strategic Information Council
IUPUI
Vice Chancellor for Student
Affairs
Vice Chancellor for Finance and Administration
Leader of Institutional Research &
Decision Support
Chief Academic Officer
Leader of Enrollment
Management
Leader of Undergraduate
Education
Leader of University College
Leader of Campus Career
& Advising Services
Strategic Information Council
IUPUI
Strategic Information
Council
Deans Council
Advising Council
Student Experience
Council
Cabinet
Data Inquiry Group
University College Councils
IUPUI
Data Inquiry Group (DIG)
DIG primary purpose is to leverage the data and analytic tools available
across IUPUI. Group members are composed of key data users/analysts
in schools and other units as appointed by Deans from each school or
Vice Chancellors of units. About 43 members. Monthly meetings.
Charge: Serve as data coaches for IUPUI in collaboration with the
office of Institutional Research and Decision Support. As such, group
members engage in dialogue around data-driven decision-making,
serve as advisors around types of data needed for decision-making
and provide input on issues such as data quality, literacy, use,
capacity, and transparency.
INDIANA UNIVERSITY–PURDUE UNIVERSITY INDIANAPOLIS
JagsSpeak
● What: Implemented a student survey process to ensure equitable student
voice in key institutional decisions.
● Why: Desired more student input/better response rates.
● How: Designed short, action-oriented, topical surveys on relevant student
issues.
● How help: Obtained student input on survey topics and successfully
implemented iterative, ongoing approach to capture and act on student
voices. 17
Self-Assessment of
Progress Made Toward
Data-Informed Decision
Culture
IUPUI
IRDS Retreat and AIR Data Rubric
Primary Areas of Focus:
• AIR Data Rubric Results and Activity
• Strategic Planning Around Statement of Aspirational Practice
• IRDS Vision Statement
IUPUI
AIR Data Rubric 12 Areas (DRAFT)1. Culture of Data Use
2. Use of Data
3. Student Context
4. Student Input
5. Culture of Inquiry
6. Data Quality
7. Data Literacy
8. Professional Development
9. Data Production
10. Decision Makers Expectations
11. Decision Makers Access
12. Data Policy
Outreach to users
IUPUI
Redesigned Website with
Accessible Self-Service Data
Tools
Institutional Research and
Decision Support
https://irds.iupui.edu/
Contains highly interactive
dashboards allow users to drill
down and filter to allow
detailed exploration of key
indicators associated with the
IUPUI Strategic Plan.
.
IUPUI
IRDS Data Workshops
IUPUI
Feedback & Results
1. Most useful aspect of workshop?
– “Watching the presenters navigate through the different reports”
– “Learning about the sheer breadth and depth of the information available from IRDS, and how user friendly the dashboards, filters, and functions are”
2. How to improve workshop?
– “Break into faculty based data and student programming/success data. Then you could attend both, but could pick the one most relevant.”
– “More real-world applicability is nice with any data discussion.”
– “Navigation was difficult to keep up with”
– “Shorter, topic driven workshops”
– “More specific, in-depth workshops”
IUPUI
Next Steps
1. Specific topic sessions
– I Heart Surveys: Where to find IUPUI survey results and best practices for crafting your own.
– Faculty and Staff Data
– Understanding course enrollment trends and information
– Admissions and Enrollment Point-in-Cycle
– Using Blue Online Course Evaluations at IUPUI: Benefits, Challenges, and Lessons Learned for Improving Teaching and Learning\
2. Continue with new topics in Fall
3. Solicit DIG group for topics
IUPUI
Challenges and Potential Obstacles
• Students as decision makers (how do we know what they will use/need without overwhelming them, what formats effective).
• Unprecedented access to data does not equal to clear understanding, effective interpretation, and use.
• Facilitating easy navigation of IR reports still a work in progress.
• Decision makers do not always know how to use data for effective decision making.
• Difficult to expect very busy directors in student-facing roles to be expert data analysts, evaluators, and assessment specialists.
• Data governance not owned by IR at IU - IT responsible for data warehouse, data stewardship, and governance.
Questions?